This is a submission for the Bright Data AI Web Access Hackathon
🔥 What I Built
OpinionFlow helps users skip the endless scroll. It's an AI-powered review assistant that:
- Crawls live product reviews from Amazon and Walmart using Bright Data MCP
- Summarizes insights using Gemini Flash
- Caches results semantically using Pinecone
- Lets users ask product-specific questions via LangChain
Want to know if the AirPods Pro have battery issues? Just ask — you’ll get instant, evidence-backed answers.
📌 Demo
- 🌐 Live App
- 💻 GitHub Repo
- 🎥 Loom Demo
🧠 How It Works
| Step | Description |
|---|---|
| 🔍 Search | Users enter a query (e.g., "Noise Buds X Prime") |
| 📄 Crawl | Bright Data scrapes live reviews from both stores |
| ✨ Summarize | Gemini Flash extracts sentiment, pros/cons, and key specs |
| 🧠 Cache | MiniLM embeddings stored in Pinecone to avoid repetition |
| 💬 Answer | LangChain generates natural-language responses with citations |
🧩 Features at a Glance
| Feature | Description |
|---|---|
| 💬 Instant AI Answer Box | Summary with links to real reviews |
| 👍 Top Pros / Cons | Highlighted from verified buyers |
| 📊 Sentiment Comparison | Side-by-side scores from Amazon & Walmart |
| 🏷️ Aspect Mini-Charts | Dynamic breakdowns: battery, comfort, etc. |
| 🧭 Multi-Store Tabs | Compare similar SKUs across platforms |
| 🔎 Review Explorer | Drill down into sources and keywords |
🚀 Bright Data in Action
| MCP Tool | Role |
|---|---|
| SERP API | Fetches product listings via Google Search |
| Web Unlocker | Unblocks product pages seamlessly |
| Scraping Browser | Renders full review sections |
| Browser API + Playwright | Handles dynamic navigation like "See all reviews" |
Bright Data saved me dozens of hours — no captchas, no proxy headaches, just clean data.
🧠 Architecture Overview
OpinionFlow is built with a modular microservice-style architecture with FastAPI as the core backend. Key flows include:
- Product discovery → via Bright Data SERP API
- Review scraping → using custom extractors
- Analysis → powered by Gemini Flash
- Semantic caching → via Pinecone vector search
- Natural Q&A → powered by LangChain and Gemini
🧰 Tech Stack
FastAPI, React.js, Bright Data MCP, Gemini Flash, Pinecone, LangChain, HuggingFace MiniLM, Netlify, Cloud Run
🔮 What's Next
- Add Target.com integration
- Launch a real-time price tracker
- Let users add their own reviews
- Enable Gemini-powered follow-ups in chat
🙏 Thanks
Big thanks to Bright Data and DEV for the challenge. If you liked this project, consider checking out:
🌟 github.com/luminati-io/brightdata-mcp
Built with ❤️ by @shivanshsinghh
🏷️ Tags
#BrightData #Hackathon #AI #LLM #Gemini #LangChain #Ecommerce #ProductReviews #FastAPI #React #Pinecone #SemanticSearch
How you integrated Amazon review scrapping in this? BTW project looks solid.